Accelerating the adoption of AI in health care
This project aims to transform the mindset, the skillset, and the toolset that the healthcare community can bring to AI-enabled practice and care. Please read below for more insight on each pillar and the associated opportunities to engage in AI for Good.
AI Enabled Care: Building Collaboration for Deeper Learning and Better Care Symposium
On April 29th, 2021 join us in a national conversation at our inaugural Symposium AI Enabled Care: Building Collaboration for Deeper Learning and Better Care. The event will feature a panel discussion, highlighting the expertise of those working with AI in healthcare from across the country. For more information visit news page.
Registration is Now Open
As part of this project, we will leverage the insights of healthcare providers, administrators, data scientists, and AI researchers to consider, establish, and foster the mindset that will empower us to appreciate and inform how we collectively work towards AI for Good.
The concepts of AI have been swirling around healthcare for a number of years now, and in some contexts, the related strategies are being explored and even implemented in practice. Most of us in healthcare have been exposed to AI in society, often not truly recognizing it as being AI. As we begin to interface with both the technologies and their impact in our clinical environments, it may give us pause to ask ourselves some questions:
- Am I aware of the ways in which AI will be integrated into my practice?
- How will my profession or role be impacted by AI, and how will organizations prepare for these shifts?
- How will Interprofessional teams work differently with AI?
- How can I be confident my patients will continue to receive safe and high quality patient-centered care in an AI-enabled world?
- How can my clinical expertise be put to ideal use in ensuring such responsible use of AI?
This project aims to establish and coordinate the evidence-based forums to tailor these skillsets to appropriate audiences, from point of care clinicians to AI leaders.
Technology, including AI, is only as good as the people and systems around it. In order to truly achieve AI for Good, healthcare providers, administrators, patients, and others need to be equipped with the knowledge, skills, and judgment to address the following:
- How deeply do I need to understand any specific technical AI concepts in order to work with it responsibly to provide care?
- How can I put AI to its best use, capitalizing on the unique capabilities of both humans and AI so that we each augment the ability of the other to contribute to care?
- How do I recognize when AI fails?
- What safeguards exist or need to be built to protect healthcare providers and our patients when AI does fail?
While it may be easy to suggest that this needs to happen, it has proven harder for the healthcare community to determine what those competencies might look like and how to achieve them.
Forums Developed as Project Deliverables:
AI for Good: Building Collaboration for Deeper Learning and Better Care Symposium (Coming Soon!)
Aligned Educational Opportunities within the Michener Institute and Vector Communities:
- Artificial Intelligence Fundamentals Course
- Artificial Intelligence in Healthcare Certificate Program
- Digital Health and Data Analytics Program
- TIER AI Journal Club
Equipped with the fundamentals, the engaged healthcare community needs to nurture the next layer of expertise, going beyond ‘AI literacy’ to engage those who are positioned to be leaders in developing, implementing, and governing AI in the clinical environment. AI for Good will rely on networks of diverse AI-minded people equipped and empowered with the necessary toolsets to continue to evolve and adapt in the emerging AI-enabled world.
- How do organizations support change management related to changing scopes of practice and clinical interventions based on AI?
- What systems of data governance and utilization will healthcare institutions engage to optimize AI as high quality decision support?
- How do we equip leaders and people managers to support teams in AI-enabled health systems?
In order to translate the new mindset and skillset initiative into practice, this project will implement a mentoring and coaching innovation hub.
The mentoring and coaching innovation hub will enable health care providers to implement high impact projects, thus building momentum for AI-enabled care. Participants from across Canada will be selected to bring project ideas forward, and receive coaching from like-minded experts to advise on their project innovations. An education plan and a mentorship pathway will be developed for each mentor-mentee match as well as monthly check-ins with the program coordinator.
Accelerating the Adoption of Artificial Intelligence in Healthcare is funded by the Government of Canada’s Future Skills Centre . Le projet est financé par le Centre des Compétences futures du gouvernement du Canada.